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UID:pretalx-foss4g-it-2026-JTDLEL@talks.osgeo.org
DTSTART;TZID=CET:20260710T171000
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DESCRIPTION:Given the expansion of the road network\, wildlife-vehicle coll
 isions (WVCs) are a growing global problem\, representing a critical chall
 enge for road safety and biodiversity. Traditional mitigation measures suc
 h as overpasses\, underpasses\, and fencing are often used\, but their rea
 l effectiveness and high costs are still a cause of debate. With the adven
 t of technological measures\, new systems such as thermal cameras integrat
 ed with AI detection tools and alert signals are being tested. An experime
 ntal system that deploys this approach is currently being piloted in four 
 municipalities of the Autonomous Province of Trento in Italy. While effect
 ive at identifying animals\, vehicles\, and humans' heat signatures throug
 h AI\, this system still lacks wildlife species-specific accuracy. Within 
 the TransWILD Biodiversa+ project\, our study aimed to enhance the setup b
 y adding camera traps to bridge this gap and provide data for comparison. 
 Using QGIS as a decision-support tool\, we identified optimal installation
  sites in two test areas. We integrated heterogeneous spatial data from di
 fferent sources. During preliminary field surveys\, the Gaia GPS app was e
 mployed to collect waypoints and tracks\, which were recorded in the WGS84
  (EPSG: 4326) reference system and exported in GPX format. Field data were
  then imported into QGIS and integrated with official cadastral datasets i
 n SHP format and converted into the ETRS89/UTM zone 32N (EPSG: 25832) refe
 rence system. By overlaying these layers\, a detailed map of the distribut
 ion of private properties in the candidate sites was created. The methodol
 ogy followed a multi-step spatial process: 1) creation of an overlay map t
 o identify public and private parcels\, 2) proximity and buffer zone analy
 sis to determine the optimal placement of camera traps and to maximize are
 a coverage\, and 3) data management and sharing to inform public authoriti
 es. The spatial outputs produced helped us in the decision-making process\
 , demonstrating that FOSS4G is a powerful tool to communicate and create c
 onnections between technical teams and non-technical stakeholders working 
 in public administration. Using FOSS4G was an advantage\, as it allowed us
  to share information without licensing barriers. However\, while prelimin
 ary tests with camera traps confirmed the high potential of the integrated
  monitoring system to prevent WVCs\, we also encountered strong limitation
 s. Privacy concerns regarding image capture from thermal cameras and compl
 ex bureaucratic procedures emerged as substantial obstacles\, eventually l
 imiting the collection of long-term research data and requiring the remova
 l of camera traps. Despite these difficulties\, the study emphasizes that 
 interdisciplinary projects\, which combine wildlife research with real-wor
 ld social issues such as WVCs\, depend heavily on the receptiveness and pr
 eparedness of public authorities. It is therefore essential to plan survey
 s well in advance to ensure compliance with regulations and local requirem
 ents. The FOSS4G approach and the decision to use tools such as QGIS are s
 till the best choice for such collaborative initiatives\, as they create a
 n inclusive environment in which spatial data acts as a shared language fo
 r negotiation and transparency. Artificial intelligence systems designed t
 o obscure people in recorded images could be implemented when using therma
 l imaging cameras\, in addition to public awareness campaigns informing ab
 out the privacy safeguards and the benefits of these systems in terms of p
 ublic safety. Future developments should integrate data ethics and adminis
 trative transparency into the project planning workflow to ensure a swift 
 transition from technical design to implementation in the field\, focusing
  on sustainability from legal and social perspectives.
DTSTAMP:20260615T070747Z
LOCATION:Aula accademica
SUMMARY:A FOSS4G workflow for the implementation of a wildlife-vehicle coll
 ision prevention system: technical optimization and privacy constraints - 
 Stefania Volani
URL:https://talks.osgeo.org/foss4g-it-2026/talk/JTDLEL/
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